// Copyright 1986-2018 Xilinx, Inc. All Rights Reserved.
// --------------------------------------------------------------------------------
// Tool Version: Vivado v.2018.3 (win64) Build 2405991 Thu Dec  6 23:38:27 MST 2018
// Date        : Thu Feb 18 21:25:39 2021
// Host        : DESKTOP-EQ90KNV running 64-bit major release  (build 9200)
// Command     : write_verilog -force -mode funcsim
//               C:/Users/WYQRL/Desktop/CDE/soc_axi_func/run_vivado/mycpu_prj1/mycpu.srcs/sources_1/ip/MultGen/MultGen_sim_netlist.v
// Design      : MultGen
// Purpose     : This verilog netlist is a functional simulation representation of the design and should not be modified
//               or synthesized. This netlist cannot be used for SDF annotated simulation.
// Device      : xc7a200tfbg676-2
// --------------------------------------------------------------------------------
`timescale 1 ps / 1 ps

(* CHECK_LICENSE_TYPE = "MultGen,mult_gen_v12_0_14,{}" *) (* downgradeipidentifiedwarnings = "yes" *) (* x_core_info = "mult_gen_v12_0_14,Vivado 2018.3" *) 
(* NotValidForBitStream *)
module MultGen
   (CLK,
    A,
    B,
    P);
  (* x_interface_info = "xilinx.com:signal:clock:1.0 clk_intf CLK" *) (* x_interface_parameter = "XIL_INTERFACENAME clk_intf, ASSOCIATED_BUSIF p_intf:b_intf:a_intf, ASSOCIATED_RESET sclr, ASSOCIATED_CLKEN ce, FREQ_HZ 10000000, PHASE 0.000, INSERT_VIP 0" *) input CLK;
  (* x_interface_info = "xilinx.com:signal:data:1.0 a_intf DATA" *) (* x_interface_parameter = "XIL_INTERFACENAME a_intf, LAYERED_METADATA undef" *) input [31:0]A;
  (* x_interface_info = "xilinx.com:signal:data:1.0 b_intf DATA" *) (* x_interface_parameter = "XIL_INTERFACENAME b_intf, LAYERED_METADATA undef" *) input [31:0]B;
  (* x_interface_info = "xilinx.com:signal:data:1.0 p_intf DATA" *) (* x_interface_parameter = "XIL_INTERFACENAME p_intf, LAYERED_METADATA undef" *) output [63:0]P;

  wire [31:0]A;
  wire [31:0]B;
  wire CLK;
  wire [63:0]P;
  wire [47:0]NLW_U0_PCASC_UNCONNECTED;
  wire [1:0]NLW_U0_ZERO_DETECT_UNCONNECTED;

  (* C_A_TYPE = "1" *) 
  (* C_A_WIDTH = "32" *) 
  (* C_B_TYPE = "1" *) 
  (* C_B_VALUE = "10000001" *) 
  (* C_B_WIDTH = "32" *) 
  (* C_CCM_IMP = "0" *) 
  (* C_CE_OVERRIDES_SCLR = "0" *) 
  (* C_HAS_CE = "0" *) 
  (* C_HAS_SCLR = "0" *) 
  (* C_HAS_ZERO_DETECT = "0" *) 
  (* C_LATENCY = "1" *) 
  (* C_MODEL_TYPE = "0" *) 
  (* C_MULT_TYPE = "1" *) 
  (* C_OPTIMIZE_GOAL = "1" *) 
  (* C_OUT_HIGH = "63" *) 
  (* C_OUT_LOW = "0" *) 
  (* C_ROUND_OUTPUT = "0" *) 
  (* C_ROUND_PT = "0" *) 
  (* C_VERBOSITY = "0" *) 
  (* C_XDEVICEFAMILY = "artix7" *) 
  (* downgradeipidentifiedwarnings = "yes" *) 
  MultGen_mult_gen_v12_0_14 U0
       (.A(A),
        .B(B),
        .CE(1'b1),
        .CLK(CLK),
        .P(P),
        .PCASC(NLW_U0_PCASC_UNCONNECTED[47:0]),
        .SCLR(1'b0),
        .ZERO_DETECT(NLW_U0_ZERO_DETECT_UNCONNECTED[1:0]));
endmodule

(* C_A_TYPE = "1" *) (* C_A_WIDTH = "32" *) (* C_B_TYPE = "1" *) 
(* C_B_VALUE = "10000001" *) (* C_B_WIDTH = "32" *) (* C_CCM_IMP = "0" *) 
(* C_CE_OVERRIDES_SCLR = "0" *) (* C_HAS_CE = "0" *) (* C_HAS_SCLR = "0" *) 
(* C_HAS_ZERO_DETECT = "0" *) (* C_LATENCY = "1" *) (* C_MODEL_TYPE = "0" *) 
(* C_MULT_TYPE = "1" *) (* C_OPTIMIZE_GOAL = "1" *) (* C_OUT_HIGH = "63" *) 
(* C_OUT_LOW = "0" *) (* C_ROUND_OUTPUT = "0" *) (* C_ROUND_PT = "0" *) 
(* C_VERBOSITY = "0" *) (* C_XDEVICEFAMILY = "artix7" *) (* ORIG_REF_NAME = "mult_gen_v12_0_14" *) 
(* downgradeipidentifiedwarnings = "yes" *) 
module MultGen_mult_gen_v12_0_14
   (CLK,
    A,
    B,
    CE,
    SCLR,
    ZERO_DETECT,
    P,
    PCASC);
  input CLK;
  input [31:0]A;
  input [31:0]B;
  input CE;
  input SCLR;
  output [1:0]ZERO_DETECT;
  output [63:0]P;
  output [47:0]PCASC;

  wire \<const0> ;
  wire [31:0]A;
  wire [31:0]B;
  wire CLK;
  wire [63:0]P;
  wire [47:0]PCASC;
  wire [1:0]NLW_i_mult_ZERO_DETECT_UNCONNECTED;

  assign ZERO_DETECT[1] = \<const0> ;
  assign ZERO_DETECT[0] = \<const0> ;
  GND GND
       (.G(\<const0> ));
  (* C_A_TYPE = "1" *) 
  (* C_A_WIDTH = "32" *) 
  (* C_B_TYPE = "1" *) 
  (* C_B_VALUE = "10000001" *) 
  (* C_B_WIDTH = "32" *) 
  (* C_CCM_IMP = "0" *) 
  (* C_CE_OVERRIDES_SCLR = "0" *) 
  (* C_HAS_CE = "0" *) 
  (* C_HAS_SCLR = "0" *) 
  (* C_HAS_ZERO_DETECT = "0" *) 
  (* C_LATENCY = "1" *) 
  (* C_MODEL_TYPE = "0" *) 
  (* C_MULT_TYPE = "1" *) 
  (* C_OPTIMIZE_GOAL = "1" *) 
  (* C_OUT_HIGH = "63" *) 
  (* C_OUT_LOW = "0" *) 
  (* C_ROUND_OUTPUT = "0" *) 
  (* C_ROUND_PT = "0" *) 
  (* C_VERBOSITY = "0" *) 
  (* C_XDEVICEFAMILY = "artix7" *) 
  (* downgradeipidentifiedwarnings = "yes" *) 
  MultGen_mult_gen_v12_0_14_viv i_mult
       (.A(A),
        .B(B),
        .CE(1'b0),
        .CLK(CLK),
        .P(P),
        .PCASC(PCASC),
        .SCLR(1'b0),
        .ZERO_DETECT(NLW_i_mult_ZERO_DETECT_UNCONNECTED[1:0]));
endmodule
`pragma protect begin_protected
`pragma protect version = 1
`pragma protect encrypt_agent = "XILINX"
`pragma protect encrypt_agent_info = "Xilinx Encryption Tool 2015"
`pragma protect key_keyowner="Cadence Design Systems.", key_keyname="cds_rsa_key", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=64)
`pragma protect key_block
g7azmhtm6FcP7uNFjuXJjN8Z6yccOPk3SSjzvKB27peFKmnPmQmov5+YTGwYqqN9LpdyiUExk8K6
vPnJqontvQ==

`pragma protect key_keyowner="Synopsys", key_keyname="SNPS-VCS-RSA-2", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=128)
`pragma protect key_block
MFrqn2K0Cr7TmQ5al162oDGiY83d+AkTWOgFyXPYrTNznygR/tx44RAp24ytphNK9p6shs2EFMg/
Qqz0l8DCWiVEoJ/T8vMpnAn7Y+poGVGS1qAR3qE2njrl81VcGBZJeFaWIudhfr/DLTuuf2T/dWDU
YpelM3KbfYNPPiPy8PU=

`pragma protect key_keyowner="Aldec", key_keyname="ALDEC15_001", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=256)
`pragma protect key_block
FZca5XZouG+/BYoQ8qrJTmnJanku4IprIWRkO6VciHehE5WehR0wsZJhfKlqLEeY1oTPA4bXaxmY
NjYkrop4EOwW8t47/hj2kFLI1OKUAE/TAhCGg/aNSOViUbB3dUomG/y+TBuDt9L6g0Arj1vb/5Pt
IChc5ZdEfRr1lJMTpFfP+5qmEH6lePPdzgPZATPB4Zrj0P6EyiEsU1FKBuAKd9iYNGiLCxVomaz0
3/RwK2Nl+/l4mc7PJt5Hso+4s1qHb4s2wD+OgbIwdH26ZkEnKVFpaLiuWQKu9uhDLGnsBMPf7XDE
p29f+mrvP9Zi/3nonA2aBKrTwR7XuH+ZYoakxA==

`pragma protect key_keyowner="ATRENTA", key_keyname="ATR-SG-2015-RSA-3", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=256)
`pragma protect key_block
jP68OjlYJglq3zpmKrXOhq7Sex8XNW8fQKp4hUNmuw06OOoKhQASNTnjtyVjAIk/VXb64ViBu1ds
cNMJybDSWBhnChfJq4h9PNybShGJXxSm3NDOo5wUHKf10Eti3fSotB9rVks+tNdTEZo4O97kgfdD
G1FNOqlsYcQiShEGLLiEQ2yYtgJBxJ+jc8mFjIEfPhAYy1ElrvtFEpnhkNS2LfE7xdWOQdO/XoKK
ibeY08pgncTI3pvO6TMbXushf0AX2S7hgfk8ysZrT+0gktqFrJnyR6oljS6VVPLtRNW2vo/cC8XQ
Bzvwwt4cpSo5KLS4XxB6qClZipItck2AUEdIbQ==

`pragma protect key_keyowner="Xilinx", key_keyname="xilinxt_2017_05", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=256)
`pragma protect key_block
o7jAZIoXlFbFtDYmtXhfRBlb07dhBb6Wp03mlT4T0FXtvccSHWhWZgc+VUNwt6TohLihOwvSipPP
XVXpGL4pUVYNdQBCVpFzhMkt6jhyUgsF5t10yI5Of6YEfQrDHigceoBukM3+/zJHPprrPQE6FUvC
wXSGhBCXnHJs1R+n4l0714w8/WftPQhlD9QGQp1qT2VARQXUKBRxcRjxe9TcLfs0P4xnN7uHu0R6
JTmV+MHmhGpetSZGx+B2Wa1MQofUPURqwE70IwBoUhdXH8+39DT5I6x2+wMY6RcVATnhNd2BCgPd
RzAhwfrcqRiU9aB+eNNdFR8ve9M2nGMmV2JxZg==

`pragma protect key_keyowner="Mentor Graphics Corporation", key_keyname="MGC-VELOCE-RSA", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=128)
`pragma protect key_block
Cl1Dz+fZIDYEIQuUd0pSg+5jknmtX/JERd+yOZ2SRaVra/4pU/eCTjEXMzhz4VFGYB6dgUxMsGBk
nL2WNdn/uaSPpi6mNF0UHQvZik4pUkYPrnRbFveVqW8i1t95SG0RW96uD19206lWrp5U1lqc4fH7
sfKHi8ZpU3MAg0DOO0E=

`pragma protect key_keyowner="Mentor Graphics Corporation", key_keyname="MGC-VERIF-SIM-RSA-2", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=256)
`pragma protect key_block
Qqp76m2aV9ue8Qai7QUavb+lhRYdu/txrnwYLzwTe0vS0S2OD1vxr8VeIT3bF/ZuXlTGm4S/UCSF
bgOPp7VqEOeGNfsSPK+VpQ+foQMENCQYccwKquBDSg/sLjpPK9uuoGLBLxjw2OwsRzplVFXiPcRN
LYK1/FmCP7RJBNgmhh/ti99a+WSl6i2YIIRGocNplQlG8FXq8ZTTHd/x2Gtdf/zGvJOy/fNsos6S
Oq9yJ0rMmbGeWbri5c04gZM08pUmXBsivgOHm2IVEZZFM4SBqrsi0xa52hs2kelc3iKJcWiTvU3X
0fJP9qNFuIjXBPPZvEYwhVtIh6DwiIC2viSscQ==

`pragma protect key_keyowner="Mentor Graphics Corporation", key_keyname="MGC-PREC-RSA", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=256)
`pragma protect key_block
aLizV0wjwk3I4bkWteOxwVFMKUjZaUkp9oRfRnQ9/jLiFIywIRN7C3JLx7XJgnYq4guauf5aa1Q6
c3+o0fyD3Qp9cQMm2d5DPOP7bJntawiLHLx52C1wXMr1RIjMC/jqCbi8aXavwXGcPl+i4ueRRV8V
F3b/SsUZGaixHVHNr+zEw4RSWjQkkUqmt0A3Q0HNSQfg2jN0pE7wVp/Sq1f67rHzOr8KhC7XIz0R
TKy66/B3FPtQpAuDLG/Dethirn5IVNxCWs6y066Tq8PhGIjIrBMhPdnSFsAFZ6NcwS4V+lt3mTpe
jOhCrbl3nbuucU7kicSyarXE9hO7GEkt3RKVYA==

`pragma protect key_keyowner="Synplicity", key_keyname="SYNP15_1", key_method="rsa"
`pragma protect encoding = (enctype="BASE64", line_length=76, bytes=256)
`pragma protect key_block
rusjXXUGRWFRJHpclaSXTUkFT0Ph/01RhsL1c4u4N0FIV77LpzUmguGOcc6+RZ7VabD3RPegmOFE
nLF1Lc4CQj6rdNlF9seiHm+I85T7PTqWsG32PQJn0lyPKq/9RmZwcL2ekMYmKzrpe19Hk/vEL2Bz
S7Uy7vAVMtVbwZDctWyw4vz1w3TUZtl0r/4HAH/3QKTs/HceSNCANdCkKx2DGFnv0YlDaiRRRb3C
eGtSpVcvb59XVRACMdMQsk43TU7oL7vZgJ0EK1mqgCiCZQJ+xGM4x7keC/CX1PIwF4gvs7kXoR55
a2v/Tl9YLyFBXLAQofWwA4X0QbkAdpX0kr7x5w==

`pragma protect data_method = "AES128-CBC"
`pragma protect encoding = (enctype = "BASE64", line_length = 76, bytes = 26688)
`pragma protect data_block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`pragma protect end_protected
`ifndef GLBL
`define GLBL
`timescale  1 ps / 1 ps

module glbl ();

    parameter ROC_WIDTH = 100000;
    parameter TOC_WIDTH = 0;

//--------   STARTUP Globals --------------
    wire GSR;
    wire GTS;
    wire GWE;
    wire PRLD;
    tri1 p_up_tmp;
    tri (weak1, strong0) PLL_LOCKG = p_up_tmp;

    wire PROGB_GLBL;
    wire CCLKO_GLBL;
    wire FCSBO_GLBL;
    wire [3:0] DO_GLBL;
    wire [3:0] DI_GLBL;
   
    reg GSR_int;
    reg GTS_int;
    reg PRLD_int;

//--------   JTAG Globals --------------
    wire JTAG_TDO_GLBL;
    wire JTAG_TCK_GLBL;
    wire JTAG_TDI_GLBL;
    wire JTAG_TMS_GLBL;
    wire JTAG_TRST_GLBL;

    reg JTAG_CAPTURE_GLBL;
    reg JTAG_RESET_GLBL;
    reg JTAG_SHIFT_GLBL;
    reg JTAG_UPDATE_GLBL;
    reg JTAG_RUNTEST_GLBL;

    reg JTAG_SEL1_GLBL = 0;
    reg JTAG_SEL2_GLBL = 0 ;
    reg JTAG_SEL3_GLBL = 0;
    reg JTAG_SEL4_GLBL = 0;

    reg JTAG_USER_TDO1_GLBL = 1'bz;
    reg JTAG_USER_TDO2_GLBL = 1'bz;
    reg JTAG_USER_TDO3_GLBL = 1'bz;
    reg JTAG_USER_TDO4_GLBL = 1'bz;

    assign (strong1, weak0) GSR = GSR_int;
    assign (strong1, weak0) GTS = GTS_int;
    assign (weak1, weak0) PRLD = PRLD_int;

    initial begin
	GSR_int = 1'b1;
	PRLD_int = 1'b1;
	#(ROC_WIDTH)
	GSR_int = 1'b0;
	PRLD_int = 1'b0;
    end

    initial begin
	GTS_int = 1'b1;
	#(TOC_WIDTH)
	GTS_int = 1'b0;
    end

endmodule
`endif
